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Linear Regression and Modeling

Duke University via Coursera

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  • Provider Coursera
  • Subject Statistics & Probability
  • $ Cost Free Online Course (Audit)
  • Session In progress
  • Language English
  • Certificate Paid Certificate Available
  • Start Date
  • Duration 4 weeks long

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Overview

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This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.

Taught by

Mine Çetinkaya-Rundel

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Reviews for Coursera's Linear Regression and Modeling
4.0 Based on 2 reviews

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  • 1
Steve W
4.0 3 months ago
Steve completed this course, spending 8 hours a week on it and found the course difficulty to be medium.
This is one of the three classes from Duke that's worth taking -- avoid the Bayesian course, which is the fourth one in their sequence. I believe this course is the third.

The course is largely talking-head-with-slides. I recommend taking the quizzes almost right away (you'll fail, but you'll get some story problems to solve). Then work through the lectures, reading, and homework, and you should have little problem with the quizzes.

I applied myself hard to the materials and got a lot out of it. The course final is a project where you use RStudio (which you'll use in all of the courses of this sequence) to build a web page of data analysis. This is nice because it gives you portfolio material.
Was this review helpful to you? Yes
José N
4.0 2 years ago
by José completed this course.
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